Air quality and temperature monitoring for recreational outdoor activities using Raspberry Pi and Twitter
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Reggie C. Gustilo
Defense Panel Chair
Maria Antonette C. Roque
Defense Panel Member
Donabel D. Abuan
Gerino P. Mappatao
Abstract/Summary
Exercising is one of the effective ways to manage good health. Jogging is the most basic way of exercising if you do not have a gym or an instructor to depend to. It is easily done alone or with friends. This exercise is performed outside and it could be anywhere as long as it is safe to run. With that said, safety for example is that there should be no enormous amount of cars passing by. But that is not just the factor that people should consider. Since, good health is what people aim to achieve, they should also consider that as they run, they breathe the air which they need in order to jog. The air that they breathe should be harmless or the air quality is within the range of what the human body could accept.
This study aims to develop an air quality as well as temperature monitoring system that would assist runner or 2joggers3 to monitor and have an idea of the place where they would run. There would be sensors to measure the amount of CO, CO2, ambient temperature (degrees Celcius), humidity, and estimate people count of that area by the use of a PIR motion. These sensors are integrated on the integrated on the Raspberry Pi module with an internet connection by the use of 3G USB dongle. Raspberry Pi would collect the data sensed by these sensors. The data gathered by the Raspberry Pi module would broadcast through the use of Twitter.
Abstract Format
html
Language
English
Format
Accession Number
TU18758
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1v. (various foliations) : illustrations (some colored) ; 28 cm.
Recommended Citation
Cruz, R. P., Mitra, K., & Monicit, C. A. (2014). Air quality and temperature monitoring for recreational outdoor activities using Raspberry Pi and Twitter. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12093